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Record W2791225427 · doi:10.22605/rrh4256

A double whammy! New baccalaureate registered nurses' transitions into rural acute care

2017· article· en· W2791225427 on OpenAlexaffabout
John A. Smith, Virginia Vandall‐Walker

Bibliographic record

VenueRural and Remote Health · 2017
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsAthabasca UniversityRed Deer Polytechnic
Fundersnot available
KeywordsAcute careMedicineNursingSkilled Nursing FacilityTransitional careMedical educationFamily medicineHealth carePolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Transitioning into the Canadian rural acute care environment can be challenging for new RNs, and so retention is of concern. Currently, few seasoned registered nurses (RNs) are available to support new RNs during transition because (a) the Canadian RN workforce countrywide is aging and significant numbers are retiring, and (b) the number of Canadian RNs working rurally has plummeted in the past 10 years. Investigations into the phenomenon of new RNs\' transitions into the workforce have been conducted, but little is known about this phenomenon as it relates to Canadian rural acute care hospitals. Most findings have been based on data from urban or mixed rural–urban samples. METHODS: An interpretive description research approach was used to understand new RNs\' transition experiences into the Alberta, Canada, rural acute care environment including supports and challenges specific to recruitment and retention. Face-to-face interviews were conducted with a convenience sample of 12 new RNs who had been employed in one or more Alberta rural acute care hospitals from 1 month to less than 2 years. RESULTS: In this study, participants experienced a double whammy consisting of learning I\'m a generalist! and managing the responsibility of I\'m it! Participants experienced contradictory emotions of exhilaration and shock that set them on an emotional roller coaster, a finding that differs from previously reported findings, wherein transition was frequently identified as only shocking. The few participants who were well supported by their colleagues and employersreportedexperiencing minor emotional fluctuations and described transition as exciting, good, and manageable. Thosewho were not experienced major fluctuations from exhilaration to shock. They described transition as exhilarating, but overwhelming, and unsafe. Notably, 9 of the 12 participants changed jobs within their first 2 years of practice. Other significant findings included problems with the outdated definitions of rural and rural acute care hospitals, which currently do not accurately address rural population growth and the services provided at rural acute care hospitals. Populations of some communities identified as rural by Alberta Health Services exceeded the upper limit of 10 000, the level long used to distinguish between rural and urban in the Canadian literature. As well, two different types of rural hospitals exist in Alberta: generalist types and urban types. The transition experience into these two different types of hospitals varied significantly. CONCLUSIONS: Whiledouble whammyoffers only one description of new RNs\' transition experiences into rural acute care, it may present readers with recognizable similarities about transition that resonate with their own learning and responsibilities. Transition supports and challenges learned from this study can assist rural healthcare providers, policymakers, and educators in developing strategies to support and retain new RNs in rural acute care environments. Additionally, researchers must consider a priori whether or not different types of rural acute care hospitals exist in their study locale and if rural population growth is a factor when conducting future investigations related to rural acute care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.362
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2017
Admission routes2
Has abstractyes

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